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| Research
Interests: Spatio-Temporal Data Mining, Spatio-Temporal Databases, and applications to Ecology, Civil Engineering, and Geology |
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| Education |
Ph.D. Candidate, Computer Science (2005 - Present)
Department of Computer Science and Engineering,
University of Minnesota - Twin Cities
Research advisor: Prof.
Shashi Shekhar
Thesis: Spatio-Temporal Data Mining of Vector Field Datasets |
M.S., Computer Science (2005)
B. T. Golisano College of Computing and Information Sciences,
Rochester Institute of Technology
Thesis: A Query Engine of Novelty in Video Streams
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B.S., Computer Science (2000)
Department
of Computer Science, Purdue University
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| Awards/Activities
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- NSF IGERT Fellowship, University of Minnesota, Minneapolis, Minnesota, 2010
- Highlighted as a success story at the NGA NARP Symposium, 2009
- Best Paper Award - The First International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07)
- NSF IGERT Fellowship, University of Minnesota, Minneapolis, Minnesota, 2005 - 2007
- Selected as one of the best papers in the 1st International Workshop on Spatial and Spatio-Temporal Data Mining, 2006
- Asia Pacific Exchange Leadership Award, Eastman Kodak Company, Rochester, New York, 2003
- Officer, New Hires Group, Eastman Kodak Company, Rochester, New York 2000 - 2004
- College of Science Student Council, Purdue University, West Lafayette, Indiana 1997
- Secretary, Asian American Association, Purdue University, West Lafayette, Indiana 1996
- Rehabilitation Volunteer, Erie County Medical Center, Buffalo, New York, 1996
- Systems Volunteer, Erie 1 Boces, Buffalo, New York, 1996
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| Publications
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| Journal
Publications |
- J. M. Kang, M. Mokbel, S. Shekhar, T. Xia, D. Zhang,
Incremental and General Evaluation of Reverse Nearest Neighbors,
IEEE Transactions on Knowledge and Data Engineering (TKDE), to appear. [pdf]
- V. Gandhi, J. M. Kang, S. Shekhar, J. Ju, E. D. Kolaczyk, and S. Gopal Context-Inclusive Function Evaluation: A Case Study with EM-Based Multi-Scale Multi-Granular Image Classification
, Knowledge and Information Systems, (KAIS), 21(2), 231-247, 2009. [link]
- B. George, J. M. Kang, S. Shekhar Spatio-Temporal Sensor Graphs (STSG): A Data Model
for the Discovery of Spatio-Temporal Patterns, International Journal of Intelligent Data Analysis
(JIDA), 13(3),
457-475, 2009. [link]
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| Conference/Workshop
Publications |
- J. M. Kang, S. Shekhar, Discovering Flow Anomalies on a Smarter Water Infrastructure System, Data Mining for Smarter Infrastructure Workshop, In conjunction with SDM, 2010 (Invited Paper).
- J. M. Kang, S. Shekhar, M. Henjum, P. Novak, W. Arnold,
Discovering Teleconnected Flow Anomalies: A Relationship Analysis of spatio-temporal Dynamic (RAD) neighborhoods,
In the Symposium on Spatial and Temporal Databases (SSTD '09), pp. 44-61,
Aalborg, Denmark, July 8-10, 2009 (Selectivity of 1 out of 3). [pdf]
- D. Morgan, J. W. Kang, J. M. Kang, Mineable Data Warehouses,
In the Eleventh International Conference on Enterprise Information Systems (ICEIS '09), pp. 125-136), Milan, Italy, May 6-10, 2009, (Selectivity of 1 out of 9). [pdf]
- J. M. Kang, S. Shekhar, C. Wennen, P. Novak,
Discovering Flow Anomalies: A SWEET Approach,
In the Eighth IEEE International Conference on Data Mining (ICDM '08), pp. 851-856,
Pisa, Italy, December 15-19, 2008 (Selectivity of 1 out of 7). [pdf]
- M. Celik, J. M. Kang, S. Shekhar,
Zonal Co-location Pattern Discovery with Dynamic Parameters,
In the Seventh IEEE International Conference on Data Mining (ICDM '07), pp. 433-438,
Omaha NE, October 28-31, 2007 (Selectivity of 1 out of 5). [pdf]
- B. George, J. M. Kang, S. Shekhar,
Spatio-Temporal Sensor Graphs (STSG): A Sensor Model for the Discovery of Spatio-Temporal Patterns,
In the first SIG-KDD International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07),
San Jose CA, August 12, 2007 (Best Paper Award). [pdf]
- M. Celik, S. Shekhar, J. P. Rogers, J. A. Shine, J. M. Kang,
Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results,
In the ICDE Workshop on Spatio-Temporal Data Mining (STDM '07), pp. 565-574, Istanbul, Turkey, April 20, 2007. [pdf]
- J. M. Kang, M. Mokbel, S. Shekhar, T. Xia, D. Zhang,
Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors,
In proceedings of the IEEE 23rd International Conference on Data Engineering (ICDE '07), pp 806-815, Istanbul, Turkey, April 16-20, 2007 (Selectivity of 1 out of 7). [pdf]
- V. Gandhi, J. M. Kang, S. Shekhar, J. Ju, E. D. Kolaczyk, S. Gopal, Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract., In proceedings of the 1st International Workshop
on Spatial and Spatio-Temporal Data Mining (SSTDM '06), in conjunction with the IEEE 6th International Conference on Data Mining (ICDM '06), p. 371-376, Hong Kong, December 18, 2006 (Selectivity of 1 out of 3). [pdf]
- V. Misic, J. M. Kang, A. M. Teredesai, J. Sissel, Portable Image Archiving: Annotation, Search, and Data Retrieval,
In proceedings of Imaging Science and Technology Archiving Conference 2005 (IS&T '05), p. 114-118,
Washington, D.C., April 26-29, 2005. (link)
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| Book Chapters |
- S. Shekhar, V. Gandhi, J. M. Kang, and M. Mokbel, Spatial Databases, Handbook of Database
Technologies (Ed. Markus Schneider and Joachim Hammer), CRC Press, to appear.
- S. Shekhar, and J. M. Kang, Spatial Data Mining, (Field Editor: D. Papadis), Encyclopedia of Database Systems, Springer Publishers, isbn 978-0387355443, to appear.
- V. Gandhi, J. M. Kang, and S. Shekhar, Spatial Databases, Wiley Encyclopedia of Computer Science and Engineering (Ed. Benjamin Wah), John Wiley and Sons Inc., 2009, isbn 978-0471383932. [pdf]
- J. M. Kang, Voronoi Diagrams, Encyclopedia of GIS, Springer Publishers, 1232-1235, isbn 978-0-387-30858-6, 2008. [link]
- J. M. Kang, Voronoi Terminology, Encyclopedia of GIS, Springer Publishers, pg 1241, isbn 978-0-387-30858-6, 2008. [link]
- J. M. Kang, Distance Metrics, Encyclopedia of GIS, Springer Publishers, 245-246, isbn 978-0-387-30858-6, 2008. [link]
- J. M. Kang, A. M. Teredesai, M. A. Ahmad, R. Gaborski, Cognitively Motivated Novelty Detection
in Video Data Streams, In the Multimedia Data Mining and Knowledge Discovery, Springer Publishers,
V. A. Petrushin & L. Khan (Eds.) 2006. [pdf]
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| Technical Reports |
- J. M. Kang, S. Shekhar, C. Wennen, P. Novak, Discovering Flow Anomalies: A SWEET Approach,
Technical Report TR09-006, Department of Computer Science, University of Minnesota, Minneapolis,
USA, 2009. [link]
- V. Gandhi, J. M. Kang, S. Shekhar, J. Ju, E. D. Kolaczyk, S. Gopal, Context Inclusive Function
Evaluation: A Case Study with EM-Based Multi-Scale Multi-Granular Image Classification, Technical
Report TR08-025, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2008. [link]
- V. Gandhi, J. M. Kang, S. Shekhar, Spatial Databases,
Technical Report TR07-020, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2007. [link]
- S. Mane, J. M. Kang, S. Shekhar, J. Srivastava, C. Murray, A. Pusey, Identifying Clusters in Marked Spatial Point Processes:
A Summary of Results, Technical Report 06-006, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2006.
[link]
- J. M. Kang, A. M. Teredesai, V. Misic, R. Gaborski, Query Engine of Novelty in Video Streams, Master's Thesis,
Department of Computer Science, B. Thomas Golisano College of Computing and Information Science, Rochester, NY, USA, 2005.
[link]
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